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Joerg Blumtritt edited this page Sep 9, 2021 · 7 revisions

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Machine Learning

(Video recordings see 12 )

Unsupervised Learning: Pattern recognision, dimension reduction, cluster analysis

  • "Distance metrics": Euclidean, p-metric (Hölder metric), neigborhood functions in grids, cosine distance, ...
  • Voronoi Diagram
  • k-means cluster analysis
  • Hierarchical cluster
  • Self Organizing Maps (Kohonen Maps)

Supervised Learning: Regression, prediction

  • Linear regression
  • Discriminant analysis
  • kNN (k-Nearest-Neighbors)
  • Perceptron
  • Multilayer perceptron (Neural Network ... next lecture)

Readings

https://datalion.com/best-free-math-books-for-machine-learning/

Genetic Algorithms

Studio

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